Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions included data but does not disclose behavioral traits such as authentication needs, rate limits, data freshness, or whether the snapshot is static or live. More transparency is needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is front-loaded with key information. It contains no unnecessary words and is easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no parameters or output schema, the description lists the included metrics, but does not describe the response format, pagination, or unit of measurement. It is adequate but could be more complete for an agent to understand the return structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters required (empty schema, 0 params). The description implies no configuration is needed, which is sufficient. With 0 parameters, baseline is 4, and the description adds clarity that no input is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool provides a global crypto market snapshot with specific metrics (market cap, volume, BTC dominance, active cryptocurrencies). This differentiates it from sibling tools like crypto_history, crypto_prices, etc., which focus on specific aspects.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is implied through the description (broad market overview) and sibling names, but no explicit when-to-use/when-not-to-use or alternative guidance is provided. The agent must infer when to use this versus sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.